A note on the dynamic dominant resource fairness mechanism
Weidong Li, Xi Liu, Xiaolu Zhang, Xuejie Zhang

TL;DR
This paper analyzes the dynamic dominant resource fairness (DRF) mechanism, proving its competitive ratio is inversely proportional to resource types and providing an efficient algorithm for its implementation.
Contribution
It establishes the competitive ratio of the dynamic DRF mechanism and introduces a linear-time algorithm for its computation.
Findings
Competitive ratio is 1/number of resource types
Linear-time algorithm for dynamic DRF solution
Applicable for multi-resource fair allocation scenarios
Abstract
Multi-resource fair allocation has beena hot topic of resource allocation. Most recently, a dynamic dominant resource fairness (DRF) mechanism is proposed for dynamic multi-resource fair allocation. In this paper, we prove that the competitive ratio of the dynamic DRF mechanism is the reciprocal of the number of resource types, for two different objectives. Moreover, we develop a linear-time algorithm to find a dynamic DRF solution at each step.
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Taxonomy
TopicsOptimization and Search Problems · Game Theory and Applications · Cloud Computing and Resource Management
